Distributed neuro-adaptive control of multi-agent systems and its application in micro-grids

In this paper, the distributed control of micro-grids is regarded as the consensus problem for a class of nonlinear multi-agent systems. An effective distributed adaptive control strategy is proposed based only on local information of the network structure. Dynamics of agents are assumed to be unknown and estimated by Neural Networks. The leader is ultimately followed by the followers with bounded synchronization error. To verify the effectiveness of the cooperative tracking adaptive controller, one simulation in micro-grid system is given finally.